AI + Cloud Engineer

Luxoft; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Luxoft is seeking a highly skilled AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions in Sydney. The role focuses on cloud-native architectures, multi-agent orchestration, and secure, compliant deployments.

You will combine strong programming with hands-on experience across AI frameworks and cloud platforms, ensuring observability, governance, and ethical AI practices within regulated banking environments.

Qualifications

• Total 8-10 years of overall experience, incl. 3+ years in DevOps, Cloud/Infrastructure.
• Proven ability to deliver Gen AI solutions in enterprise production.
• Strong Python programming and full-stack development experience.
• Hands-on with AWS Cloud, EKS/ECS, Bedrock, Semantic Kernel, LangChain, LangGraph, SageMaker.
• Knowledge of AI governance, compliance, and ethical AI frameworks.
• Experience deploying AI solutions with CI/CD pipelines.
• Banking sector delivery experience.

Responsibilities

• Architect, develop, and deliver Generative AI solutions at enterprise scale.
• Implement agent-based architectures and orchestrate multi-agent systems for complex workflows.
• Ensure security, observability, and reliability across all deployments.
• Build and maintain full-stack applications with robust testing.
• Leverage DevOps practices and CI/CD for scalable AI deployments.
• Collaborate with product, compliance, and stakeholders to align AI initiatives with goals.
• Contribute to AI governance and ethical frameworks.

Skills

Python

DevOps

Cloud Engineering

SRE

Infrastructure Engineering

Tools

AWS Cloud

EKS / ECS

Bedrock

Semantic Kernel

LangChain

LangGraph

SageMaker

Job description

• We are seeking a highly skilled AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions. This role requires deep expertise in cloud-native architectures, multi-agent orchestration, and secure production deployments.
• The ideal candidate will combine strong programming skills with hands‑on experience across modern AI frameworks and cloud platforms, while ensuring compliance, observability, and ethical AI practices.

Responsibilities

• Architect, develop, and deliver Generative AI solutions in enterprise-scale production
• Implement agent-based architectures and orchestrate multi-agent systems for complex
• workflows.
• Ensure application security, observability, and reliability across all deployed solutions.
• Build and maintain full-stack applications with robust automated unit and regression testing.
• Leverage enterprise-grade DevOps practices and CI/CD pipelines for scalable AI deployments.
• Collaborate with cross-functional teams, including product, compliance, and business stakeholders, to align AI initiatives with organizational goals.
• Contribute to the development and enforcement of AI governance, compliance, and ethical frameworks, including security guardrails.
• Deliver AI-driven solutions tailored to the banking domain, with applications in fraud detection, customer personalization, and conversational AI.

Mandatory Skills

• Python

Mandatory Skills Description

• Total 8-10 years of experience. 3+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering.
• Proven ability to deliver Gen AI solutions in enterprise production environments.
• Strong programming skills in Python and experience with full-stack development.
• Hands‑on expertise with the following AI and cloud technologies:
• AWS Cloud
• EKS / ECS
• Bedrock
• Semantic Kernel
• LangChain
• LangGraph
• SageMaker
• Deep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.
• Experience deploying AI solutions using enterprise-grade DevOps and CI/CD pipelines.
• Familiarity with AI governance, compliance, and ethical AI frameworks.
• Strong communication skills with the ability to engage and influence stakeholders at all levels.
• Background in delivering solutions within the banking sector.
• Exposure to fraud detection, customer personalization, or conversational AI applications.
• Experience working in highly regulated industries with strict compliance requirements.